15 results about "Packet prioritization" patented technology

The invention refers to A method in a first Radio Link Control, RLC, entity (12, 12A, 12B), the first RLC entity transmitting a first set of one or more data packets and a second set of one or more data packets to a second RLC entity (12, 12A, 12B), the method comprising: receiving (1110) an RLC status report comprising a negative acknowledgement, NACK, with respect to the first set of data packets received from the second RLC entity; evaluating (1120) a condition for prioritizing transmitting the first set of data packets over transmitting the second set of data packets; and transmitting (1130) data packets of the first set and the second set according to the evaluation; the invention further refers to user equipment and to a network node being configured to perform the method.

Systems and methods disclosed herein relate to generation and use of enhanced cross-layer metadata for a quality of experience (QoE) awareness mechanism within a network (e.g., wireless) device (e.g., user equipment (UE)). Examples of related mechanisms include a link selection mechanism, a link differentiation mechanism, a traffic or packet prioritization mechanism, and a packet queuing mechanism. A device may be understood according to a functional layer at the device used to communicate over a network. The QoE-based metadata may be transmitted in a southern (layer-down) direction to enable decisions at layers in the southern direction. Similarly, lower layer metadata may be communicated in a northbound (layer-up) direction to enable decisions at layers in the northbound direction. Various novel aspects of the type, generation, transmission, and temporal correlation of such enhanced metadata for QoE-aware environments are discussed.

The invention belongs to the technical field of wireless communication, and particularly relates to a self-adaptive backoff method based on emergency degree and channel load volatility. According to the method, the survival time constraint of the data packet, the same-priority differentiation demand and the dynamic change characteristic of the channel load are comprehensively considered. By sensing the time emergency degree of a data packet, shorter back-off time is allocated to the data packet which is close to timeout, and meanwhile, differential control in the same priority is realized; the backoff strategy is flexibly adjusted in a dynamic environment by monitoring the channel load fluctuation condition. The multi-dimension (data packet priority, channel occupancy rate, data packet emergency degree and channel load volatility) adaptive mechanism can reduce the system time delay and packet loss rate, improve the channel utilization rate and the system throughput, and enhance the fairness and differentiated service effect among data with different priorities while ensuring the high-priority data transmission performance.

Systems, methods, devices, and machine-readable media for improved communication between a software defined radio front end device and a network based computing device are disclosed in some examples. Rather than grouping samples together, the same bit position from multiple ADC samples can be grouped together. If a quality of service (QoS) metric of a network connection between the RF front end device and the network based processing compute falls below a threshold, the RF front end device can preferentially transmit groups with higher significant bits over groups with lower significant bits. In other examples, the RF front end device can prefer samples corresponding to certain data types over other data types.

The invention discloses a face recognition building intercom system based on VOIP encryption transmission, and relates to the technical field of building intercom communication, the system comprises an entrance machine, an indoor machine and a management platform, the entrance machine is integrated with a network state sensing module, a security policy management module, a biological characteristic key generation module and a human body posture recognition model, the entrance machine collects a face image and completes preliminary recognition, the biological feature key generation module extracts feature factors from the face image and dynamically generates a unique encryption key, the security policy management module switches encryption policies such as a ChaCha20 stream cryptographic algorithm and an AES-256 algorithm according to a call stage and network quality parameters, and the security policy management module carries out encryption on the face image. The redundancy error correction strategy is dynamically adjusted based on the data packet priority and the network condition, the management platform is responsible for coordinating system operation, storing logs and pushing strategy suggestions, dynamic balance of communication safety, real-time performance and reliability is achieved, system energy consumption is reduced, user privacy is protected, and the method is suitable for application scenes with complex network conditions.

A system can receive a group of data packets originated by at least one edge device. The system can decrypt respective data packets of the group of data packets, to reconstruct a file that is represented by the group of data packets. The system can extract a contextual value of the file. The system can input the respective contextual values and a defined rulebook to a retrieval-augmented generation system, wherein the defined rulebook comprises rules applicable to traffic routing in a human-readable format, and wherein the retrieval-augmented generation system outputs a priority for transmission of the group of data packets. The system can transmit the group of data packets to a destination based on the priority and the defined rulebook.

The disclosure provides a method for storing ACL entries, a method for matching ACL entries, and a network apparatus. The method for storing ACL entries includes: obtaining an ACL entry to be stored, splitting the ACL entry into a first section and a second section, where the first section includes a source address and a destination address stored in the ACL entry, and the second section includes some or all of a transport layer source port, a transport layer destination port, a transport layer protocol type, a packet priority, and a port of the ACL entry; storing the first section in a TCAM, and storing the second section in an SRAM.

A 6G-enabled AI protocol for real-time agent coordination, implemented on a TSMC N2 ASIC (2048 cores, 2 GHz), uses 256 QAM signals, DON scheduling, and Neuroelectrics NE-256CH EEG at 256 Hz for β-power prioritization, achieving sub-5 μs latency with 99.995% reliability over 10{circumflex over ( )}7 trials. It integrates symbolic channel modulation, zero-knowledge routing, EEG-based packet prioritization, sovereign containerization, DON task scheduling, symbolic DMA for sensor fusion, encrypted ledgers, and holistic network synthesis, yielding emergent AGI / ASI. Layers are scored for integrity, security, privacy, compliance, and governance via multiplicative formulas, achieving ≥0.99994. Compliant with GDPR, CCPA, and FDA via zk-SNARK and ethics arbitration, it supports autonomous vehicles, smart cities, and disaster-response networks.

The invention discloses a power embedded RTOS-oriented lwIP protocol stack implementation method and system, and the method comprises the steps: calculating a protocol stack initialization resource allocation threshold according to hardware resource parameters of a power embedded RTOS; calculating a data packet priority weight value according to a real-time requirement and a protocol stack initialization resource allocation threshold value; according to the priority weight value of the data packet, calculating a module cutting proportion, and carrying out lightweight cutting on the core module of the lwIP protocol stack; a data transmission scheduling priority value is calculated according to a protocol stack initialization resource allocation threshold value, a module cutting proportion and a data packet priority weight value, and scheduling optimization is performed on power data transmission; and according to the data transmission scheduling priority value and the module cutting proportion, calculating a parameter adjustment value, and then dynamically adjusting the protocol stack operation parameters. According to the invention, the lwIP protocol stack can be always kept in an efficient and stable transmission state under different operation conditions of a power system, and the method can be widely applied to the technical field of power.

The application belongs to the technical field of wireless communication, and discloses a low-delay Li-Fi Internet of Things communication method and system based on UDP, which constructs a low-delay, high-reliability and self-adaptive Li-Fi communication system through communication link initialization, dynamic MTU adaptation, data packet priority scheduling, multi-dimensional intelligent scheduling mechanism, layered fault-tolerant architecture and cross-layer collaborative design. The application is suitable for intelligent factories, automatic driving, remote medical treatment and other Internet of Things scenes with extremely high real-time and reliability requirements, and has strong technical innovation and commercial application value.

A method and system for selectively prioritizing data packets of video streaming traffic in a playback buffer are disclosed. The method involves predicting the buffer health of a video player by analyzing metrics of the video streaming traffic and prioritizing the video streaming traffic based on the health of the buffer. The system includes a processor and memory with instructions to perform these functions. Additional features include prioritizing bandwidth using configured values, handling prioritization requests for both normal and low buffer health conditions, and canceling the prioritization based on network load. This innovative approach ensures efficient video streaming by proactively managing the data packet prioritization process based on the predicted buffer health status of the video player.

A method and system for selectively prioritizing data packets of video streaming traffic in a playback buffer are disclosed. The method involves predicting the buffer health of a video player by analyzing metrics of the video streaming traffic and prioritizing the video streaming traffic based on the health of the buffer. The system includes a processor and memory with instructions to perform these functions. Additional features include prioritizing bandwidth using configured values, handling prioritization requests for both normal and low buffer health conditions, and canceling the prioritization based on network load. This innovative approach ensures efficient video streaming by proactively managing the data packet prioritization process based on the predicted buffer health status of the video player.

This application discloses a data packet priority classification method and related equipment to address the problem that existing 5G network data packet priority classification methods lack flexibility and are unable to cope with changes in 5G networks. The method includes: acquiring first data packet features and first network key parameters; wherein, the first data packet features characterize the attributes of the first data packet associated with transmission in the communication network; the first network key parameters characterize the first network state of the communication network; inputting the first data packet features and the first network key parameters into a data packet priority classification model, and having the data packet priority classification model perform the following: based on the first data packet features and the first network key parameters, outputting the priority classification result of the first data packet.

The invention relates to the technical field of network communication, and discloses a network forwarding method, device and equipment based on an SPI virtual network card and a storage medium, which are used for realizing efficient, low-delay and high-reliability network data forwarding in embedded audio equipment. The network forwarding method based on the SPI virtual network card comprises the following steps: acquiring a network data packet; according to the network data packet, performing lightweight network address translation and bridging forwarding processing in a user mode to obtain a forwarding decision result; based on the forwarding decision result, transmission parameter dynamic adjustment processing is carried out through an SPI bus bandwidth adaptive scheduling algorithm, and optimized transmission parameters are obtained; according to the optimized transmission parameters, data packet priority classification and multi-level weighted queue scheduling processing are carried out, and data packets after priority scheduling are obtained; and performing predictive buffering and forward error correction (FEC) coding processing based on the data packet after priority scheduling, and sending the data packet through the SPI virtual network card.

A user equipment (UE) communicates on a shared channel using sidelink transmissions. The UE determines a channel access priority for the sidelink transmission based on a channel access priority for the UE, a channel access priority associated with a packet priority of the sidelink transmission, a congestion level for the channel, or a remaining time in a packet delay budget of the sidelink transmission. The UE performs a channel access procedure based on the channel access priority for the sidelink transmission to assess that the channel is clear prior to transmitting the sidelink transmission, and transmits the sidelink transmission on the channel.